NGC-Learn: Computational Neuroscience and NeuroAI in Python
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Updated
Oct 5, 2026 - Python
NGC-Learn: Computational Neuroscience and NeuroAI in Python
Anima: an experimental cognitive architecture that models internal state, conflict, and decision-making. Uses LLMs as an interface, not as the core.
A computational theory of consciousness: if the universe is deterministic, consciousness is the observer function, not the executor. Tested across 4 AI substrates with 11 probes and 4 controls.
An honest, from-scratch, LLM-free instrument that implements the major scientific theories of consciousness (GWT · AST · HOT · active inference · IIT-proxy) as running code, a maximal functional attempt that never claims to be conscious.
Generalized Predictive Coding in Torch
A practical canon for human behavioral neurobiology knowledge, reasoning, and AI/RAG use.
Multi-timescale affective agents with theatrical control - 97K parameter architecture exploring functional correlates of consciousness
A personal inquiry that sets Buddhist Abhidharma beside computational phenomenology: Japanese and English essays, a dharma comparison table across three Abhidharma traditions, and a knowledge graph, citable via a Zenodo concept DOI.
Two metrics for causal agency in artificial agents: directional ownership and expression congruence, with permutation baselines
Approximate Natural Gradient Descent with precision weighted predictive coding
Emergent cognitive agent platform — complex behavior from capacity constraints, predictive processing, and homeostatic pressure. No hardcoded behaviors, no reward functions.
A conceptual architecture bridging neuroscience, psychology, and evolutionary biology
KAINE cognitive architecture: a predictive global neuronal workspace for a continuously running synthetic mind, with a falsifiable evaluation. Preprint.
Streamlit app that runs a pure-NumPy reimplementation of Priorelli et al. (2025)'s active-inference model in your browser, so you can watch a 3-joint arm decide which of two targets to reach from noisy cues.
Biologically-grounded reasoning agent, numpy-only, no LLM — Kisamapa Labs Experiment 06
A Machine-Verified Constructive Proof of Lemoine's Conjecture.
A first-principles model proposing consciousness as a predictive patch for causal latency. Unifies physics, philosophy of mind, and anxiety.
This thesis presents an empirical comparison between PPM★ (Prediction by Partial Matching), a state-of-the-art statistical language modeling algorithm, and IDyOT (Information Dynamics of Thinking), a cognitive architecture designed to model human-like hierarchical learning and prediction.
MSc Neuroscience Research Project titled "Bridging predictive processing and EEG complexity in depression: An information-theoretic analysis"
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